API cost decision in 10 seconds

GPT-5.2-Codex vs Nova Premier 1.0

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Both models are estimated at $8.75 for the standard 1M input plus 500K output workload.

Cost-first pickTie
Context-first pickNova Premier 1.0
Sample savings$00%
10x traffic gap$0

Context-window winner: Nova Premier 1.0. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors GPT-5.2-Codex, balanced workload favors Nova Premier 1.0, and output-heavy chatbot favors Nova Premier 1.0.

Workload shapeToken mixBetter pickGPT-5.2-CodexNova Premier 1.0
Input-heavy / RAG5M input + 500K outputGPT-5.2-Codex$15.75$18.75
Balanced workload1M input + 1M outputNova Premier 1.0$15.75$15
Output-heavy chatbot1M input + 5M outputNova Premier 1.0$71.75$65
Cheaper input GPT-5.2-Codex $1.75 vs $2.5 / 1M

GPT-5.2-Codex is $0.75 cheaper per 1M input tokens (30% lower; 1.43x difference).

Cheaper output Nova Premier 1.0 $14 vs $12.5 / 1M

Nova Premier 1.0 is $1.5 cheaper per 1M output tokens (10.7% lower; 1.12x difference).

Larger context Nova Premier 1.0 400K vs 1M

Nova Premier 1.0 has 600K more context (2.5x larger).

Sample workload Tie $8.75 vs $8.75

Both models have the same estimated cost for the standard 1M input plus 500K output workload: $8.75.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT-5.2-Codex Calculating… Estimated API cost
Nova Premier 1.0 Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

GPT-5.2-Codex has the lower input price; Nova Premier 1.0 has the lower output price; Nova Premier 1.0 offers the larger context window. For the 1M input plus 500K output sample, the standard workload cost is tied.

For a 1M input token plus 500K output token workload, the estimated API cost is $8.75 for GPT-5.2-Codex and $8.75 for Nova Premier 1.0.

Best Fit

Choose GPT-5.2-Codex when you care most about lower input-token price.

Choose Nova Premier 1.0 when you care most about lower output-token price, and larger context window.

Decision Notes
  • Both models are estimated at $8.75 for the standard 1M input plus 500K output workload.
  • Both models have the same estimated cost for the standard 1M input plus 500K output workload: $8.75.
  • GPT-5.2-Codex is $0.75 cheaper per 1M input tokens (30% lower; 1.43x difference).
  • Nova Premier 1.0 is $1.5 cheaper per 1M output tokens (10.7% lower; 1.12x difference).
  • Nova Premier 1.0 has 600K more context (2.5x larger).
Head-to-Head Specs
FeatureGPT-5.2-Codex
(OpenAI)		Nova Premier 1.0
(Amazon)
Input Price
prompt tokens per 1M		$1.75$2.5
Completion Price
per 1M tokens		$14$12.5
Sample Workload Cost
1M input + 500K output		$8.75$8.75
Context Window400K1M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionTieBoth models are estimated at $8.75 for the standard 1M input plus 500K output workload.
High-volume input processingGPT-5.2-CodexLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsNova Premier 1.0Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workNova Premier 1.0A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • gpt-oss-120b (free) can replace GPT-5.2-Codex when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-5.2-Codex when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT-5.2-Codex when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace GPT-5.2-Codex when lower sample workload cost matters most: $0.13.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • GPT-5.4 offers 1.05M context with $10 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

OpenAI catalog

Review all tracked OpenAI models before deciding whether this matchup is the right shortlist.

Open OpenAI models

Amazon catalog

Check other Amazon models with comparable pricing, context, or release timing.

Open Amazon models
GPT-5.2-Codex

GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....

Nova Premier 1.0

Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.